The promise of convolutional neural networks for the early diagnosis of the Alzheimer?s disease

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dc.authoridErdoğmuş, pakize/0000-0003-2172-5767en_US
dc.authoridKabakus, Abdullah Talha/0000-0003-2181-4292en_US
dc.authorscopusid35789879200en_US
dc.authorscopusid56539908500en_US
dc.authorwosidErdoğmuş, pakize/KFQ-5318-2024en_US
dc.contributor.authorErdogmus, Pakize
dc.contributor.authorKabakus, Abdullah Talha
dc.date.accessioned2024-08-23T16:04:48Z
dc.date.available2024-08-23T16:04:48Z
dc.date.issued2023en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractAlzheimer's Disease (AD) is one of the most devastating neurologic disorders, if not the most, as there is no cure for this disease, and its symptoms eventually become severe enough to interfere with daily tasks. The early diagnosis of AD, which might be up to 8 years before the onset of dementia symptoms, comes with many promises. To this end, we propose a novel Convolutional Neural Network (CNN) as a cheap, fast, yet accurate solution. First, a gold-standard dataset, namely DARWIN, that was proposed for the detection of AD through handwriting and consisted of 1D features, was used to generate the 2D features, which were yielded into the proposed novel model. Then, the proposed novel model was trained and evaluated on this dataset. According to the experimental result, the proposed novel model obtained an accuracy as high as 90.4%, which was higher than the accuracies obtained by the state-of-the-art baselines, which covered a total of 17 widely-used classifiers.en_US
dc.identifier.doi10.1016/j.engappai.2023.106254
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.scopus2-s2.0-85152104600en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2023.106254
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14369
dc.identifier.volume123en_US
dc.identifier.wosWOS:000981742600001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep neural networken_US
dc.subjectConvolutional neural networken_US
dc.subjectComputer-aided diagnosisen_US
dc.subjectComputer visionen_US
dc.subjectAlzheimer?s diseaseen_US
dc.titleThe promise of convolutional neural networks for the early diagnosis of the Alzheimer?s diseaseen_US
dc.typeArticleen_US

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